Hybrid Conferencee

International Conference on Control Systems Engineering and Data Mining (ICCSEDM - 26)

12th - 13th August 2026 | Seoul, South Korea

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Seoul conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Seoul, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Seoul."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
Track 01

Advancements in Control Systems Engineering

This track focuses on the latest innovations and methodologies in control systems engineering. Contributions that explore novel control strategies and their applications in various industrial settings are particularly encouraged.

Track 02

Data Mining Techniques for System Identification

This session aims to discuss the application of data mining techniques in system identification processes. Researchers are invited to present their findings on how these techniques can enhance the accuracy and efficiency of identifying system dynamics.

Track 03

Predictive Modeling in Engineering Applications

This track delves into the development and application of predictive modeling techniques within engineering contexts. Papers that demonstrate the integration of predictive analytics in optimizing engineering processes are highly sought after.

Track 04

Optimization Strategies in Process Control

This session will explore various optimization strategies employed in process control systems. Contributions that highlight the interplay between optimization algorithms and control system performance are encouraged.

Track 05

Sensor Data Analysis for Enhanced Monitoring

This track focuses on the analysis of sensor data to improve monitoring capabilities in industrial systems. Researchers are invited to share innovative approaches that leverage data analytics for real-time decision-making.

Track 06

Fault Detection and Diagnosis in Automation Systems

This session aims to address methodologies for fault detection and diagnosis in automated systems. Papers that present novel algorithms or case studies demonstrating effective fault management are welcome.

Track 07

Analytics in Adaptive Control Systems

This track explores the role of analytics in enhancing adaptive control systems. Contributions that discuss the integration of data-driven insights into adaptive control strategies are encouraged.

Track 08

Industrial Systems Monitoring and Data Mining

This session focuses on the application of data mining techniques for monitoring industrial systems. Researchers are invited to present their work on how data mining can improve operational efficiency and system reliability.

Track 09

Machine Learning Approaches in Control Systems

This track investigates the intersection of machine learning and control systems engineering. Papers that explore the application of machine learning algorithms to enhance control strategies and system performance are encouraged.

Track 10

Big Data Analytics in Engineering Processes

This session will discuss the implications of big data analytics in various engineering processes. Contributions that highlight the challenges and solutions in managing and analyzing large datasets for engineering applications are welcome.

Track 11

Trends in Automation and Control Technologies

This track aims to highlight emerging trends in automation and control technologies. Researchers are invited to share insights on the future directions and innovations that will shape the field.